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A Decision Support System for Ore Blending Cost Optimization Problem of Blast Furnaces

  • Ruijun Zhang
  • Jizhong Wei
  • Jie Lu
  • Guangquan Zhang
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 4)

Abstract

In iron and steel enterprises, it is difficult to obtain the lowest-cost optimal solution to an ore blending problem for blast furnaces by using the traditional trial-fault-trial (TFT) method because of the complexity of materials and burden of workflow. Here, we develop a set of decision support systems (DSS) software to solve the problem. Using the basics of analyzing business flow and the working process of ore blending, we pre-process the data for materials and elements, abstract a non-linear model of ore blending for a blast furnace, design the architecture for ore blending cost optimization DSS which integrates a database, a model base and a knowledge base, and solve the problem. The system has made economic gains since it was implemented in Xiangtan Iron & Steel Group Co. Ltd., China, in September 2008.

Keywords

Ore blending Cost optimization Decision support system Model base 

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Copyright information

© Springer Berlin Heidelberg 2010

Authors and Affiliations

  • Ruijun Zhang
    • 1
    • 2
  • Jizhong Wei
    • 1
  • Jie Lu
    • 2
  • Guangquan Zhang
    • 2
  1. 1.School of ManagementWuhan University of Science and TechnologyWuhanChina
  2. 2.Decision Systems & E-Service Intelligence research Research laboratoryLaboratory, Centre for Quantum Computing and Intelligent Systems, Faculty of Engineering and Information TechnologyUniversity of Technology SydneyBroadwayAustralia

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